Apr 2024 – Present · 1 yr 11 mos · Mumbai, Maharashtra, India · On-site

• Researched and back-tested 20+ systematic ideas—momentum, market-neutral statistical arbitrage on Indian cash equities, single-stock futures, and index derivatives. Built a modular Python back-testing framework leveraging Polars for in-memory vectorized operations and DuckDB for ad-hoc SQL querying on Parquet files, enabling end-to-end simulation. Promoted the most robust models to live beta after multi-year walk-forwards posted >25 % CAGR; now broadening signal discovery across Indian equities and derivatives.
• Built and deployed a fault tolerant Trade Execution Engine capable of routing 10 k+ orders/day across Zerodha, Dhan & Angel via REST/WebSocket gateways. Features real time risk checks, dynamic position netting and AWS EC2 auto scaling, enabling live deployment of multiple systematic strategies at <10 bps slippage.
• Designed and shipped an end to end Broker Agnostic Portfolio Management & Reporting System with a Google Sheets front end and serverless Python APIs. Automates multi account rebalancing, risk analytics, and client ready PDFs, shrinking month end reconciliation from days to <5 min and supporting ₹50 Cr+ in AUM.
• Built an End-to-End Database architecture to store historical data for equity and derivatives, ensuring data integrity and accessibility. Designed and implemented a comprehensive data storage solution using AWS S3 for data storage, AWS Glue for ETL processes, and AWS Athena for efficient data querying. Cleaned and organized historical data by developing robust processes to manage Corporate Actions ensuring data accuracy.